I-Corps: Comprehensive tool to capture spatio-temporal variations in social media health risk communication for COVID-19 and other health risks

I-Corps：捕捉社交媒体健康风险沟通中针对 COVID-19 和其他健康风险的时空变化的综合工具

• 批准号: 2050407
• 负责人: Arif Mohaimin Sadri
• 金额: $ 5万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-15 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2050407&HistoricalAwards=false
• 关键词: Corps; Comprehensive; tool; capture; spatio

The broader impact/commercial potential of this I-Corps project is the development of a software platform that may be integrated into crisis management systems such as public health (WHO, CDC), emergency management (FEMA), and transportation (DOT) agencies to facilitate the transmission of correct information and provide the option to notify social media providers of identified misinformation. It is becoming increasingly important for government agencies, policy makers, and emergency management officials to be capable of addressing major crisis scenarios under acute time and resource constraints. Using social media platforms more efficiently would be a critical step towards this vision. For example, such communications platforms could to be leveraged to better communicate the COVID-19 risk. The goal of this project is to understand and validate the need for this capability in civilian or emergency management agencies, and federal, state, or city level government agencies. The proposed technology also may be useful in other natural and man-made disaster contexts in which public health risks become major concerns.This I-Corps project is based on the development of a comprehensive tool to capture spatio-temporal variations in social media health risk communication (i.e., information or misinformation) at different scales. The project will also integrate data-driven methods for user-friendly predictive analytics and infographics to anticipate citizen needs and crisis responses. The proposed tool will be grounded on state-of-the-art network science, social science, and data science theories and concepts. Using the Application Programming Interface (API) of publicly available social media platforms such as Twitter, large-scale crisis communication data has been collected in the emergence and outbreak of the novel coronavirus. These data may serve as proof-of-concept for the ability to develop and operate publicly-available, novel social sharing platforms to automatically and passively detect and control information tipping points to facilitate better response in pandemics and other societal emergencies. As such, the proposed approach will provide holistic support to detect information overload, turnover, user reaction, and response in socio-technical systems during a major crisis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目的更广泛的影响/商业潜力是开发一个软件平台，该平台可以集成到公共卫生（WHO，CDC），应急管理（FEMA）和交通（DOT）机构等危机管理系统中，以促进正确信息的传输，并提供通知社交媒体提供商识别错误信息的选项。对于政府机构、决策者和应急管理官员来说，能够在时间和资源严重受限的情况下应对重大危机变得越来越重要。更有效地利用社交媒体平台将是实现这一愿景的关键一步。 例如，可以利用此类沟通平台更好地传达COVID-19风险。本项目的目标是了解和验证民用或应急管理机构以及联邦、州或市级政府机构对这种能力的需求。所提出的技术也可能是有用的，在其他自然和人为灾害的情况下，其中公共卫生风险成为主要问题。这个I-Corps项目是基于开发一个全面的工具，以捕捉社会媒体健康风险沟通的时空变化（即，信息或错误信息）。 该项目还将整合数据驱动的方法，用于用户友好的预测分析和信息图表，以预测公民需求和危机应对。该工具将基于最先进的网络科学、社会科学和数据科学理论和概念。利用Twitter等公开社交媒体平台的应用程序编程接口（API），在新型冠状病毒的出现和爆发中收集了大规模的危机传播数据。这些数据可以作为开发和运营公开可用的新型社交共享平台的能力的概念验证，以自动和被动地检测和控制信息引爆点，以促进更好地应对流行病和其他社会紧急情况。因此，拟议的方法将提供全面的支持，以检测信息过载，周转，用户的反应，并在社会技术系统在重大危机中的反应。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。